Write Section 1 of the DAA. Provide a context of the wk5data.sav data  set. Specifically, imagine that you are a clinical researcher studying a  new treatment for anxiety

This assignment will help you understand proper reporting and  interpretation of a one-way repeated measures ANOVA. You will use the  IBM SPSS GLM procedure to accurately compute a repeated measures ANOVA  with the wk5data.sav file located below in the  Resources. Also use the Data Analysis and Application (DAA) Template  located in the Resources to write up your assignment. The deadline for  submitting your work is 11:59 PM CST on Sunday of Week 5.

Step 1. Write Section 1 of the DAA. Provide a context of the wk5data.sav data  set. Specifically, imagine that you are a clinical researcher studying a  new treatment for anxiety. To determine treatment efficacy, you monitor  the anxiety levels of clients over five weeks. Anxiety symptoms are  quantified with a symptom checklist, and the data are entered into SPSS.  Week 1 represents the baseline number of anxiety symptoms. Week 5  represents the number of anxiety symptoms at the conclusion of  treatment. In Section 1 of the DAA, articulate your within-subjects  factor and the outcome variable. Specify the sample size of the data  set. Based on your visual inspection of the raw data in wk5data.sav,  speculate on the overall trend in recorded symptoms from Week 1 to Week  5.

Step 2. Write Section 2 of the DAA. Assume that  the sample is too small to assess multivariate normality. Instead, focus  your analysis in Section 2 on the sphericity assumption. Provide the  SPSS output for the Mauchly test. Report the results of the Mauchly W  and interpret it in terms of the sphericity assumption. If sphericity  is violated, analyze the three epsilon estimates (Greenhouse-Geisser,  Huynh-Feldt, and lower bound) and justify your decision for selecting  one of the three epsilon corrections reported below in Section 4  Interpretation.

Step 3. Write Section 3 of the DAA. Specify a  research question related to the repeated measures ANOVA. Articulate the  null hypothesis and alternative hypothesis. Specify the alpha level.

Step 4. Write Section 4 of the DAA.

• To provide context, paste SPSS output of Weeks 1–5 descriptive  statistics. Report these descriptive statistics in your narrative.
• Next, paste SPSS output of the estimated marginal means plot of Weeks 1–5. Provide an interpretation of this figure.
• Then paste the SPSS output for the test of within-subjects effects.
• Report F, the degrees of freedom based on your epsilon  correction selected in Section 2 (if epsilon correction is not  necessary, report Sphericity Assumed df), the F value, the  p value, the effect size, and interpretation of the effect size.
• Interpret the results against the null hypothesis. Next, paste  the SPSS output for the tests of within-subjects contrasts if the  overall F null hypothesis is rejected.
• Make sure in SPSS that the contrast is designated as “simple” with Week 1 set as the baseline comparison. Report the F tests for the simple contrasts and interpret them.

Step 5. Write Section 5 of the DAA. Discuss the  conclusions of the repeated measures ANOVA as it relates to the research  question. Conclude with an analysis of the strengths and limitations of  repeated measures ANOVA.

Submit your assignment as an attached Word document.

Resources

• Unit 5 Data Analysis and Application Scoring Guide.
• Capella Graduate Online Writing Center – APA Style and Formatting.
• Data Analysis and Application (DAA) Template
• wk5data.sav